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Topic · Computer Vision and Pattern Recognition

Context-Aware Activity Recognition Systems

Context-Aware Activity Recognition Systems is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 36k research works in it since 1953. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on activity recognition in pervasive computing environments, utilizing wearable sensors and accelerometer data. It explores the application of context-aware systems for health monitoring, smart homes, and ambient intelligence. The papers also delve into the use of deep learning algorithms for accurate activity recognition and fall detection.

  • Activity Recognition
  • Pervasive Computing
  • Wearable Sensors
  • Context-Aware Applications
  • Health Monitoring
  • Smart Homes
  • Accelerometer Data
  • Deep Learning
  • Ambient Intelligence
  • Fall Detection
Research works
36k
fractional, since 1953
In the world top 10%
3.5k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+6%
the tick is no change
Largest producer
China
25% of the 10 largest, 2022-now
Context-Aware Activity Recognition Systems

Which countries lead Context-Aware Activity Recognition Systems research?

By volume, China and India publish the most (1.4k and 1.4k works in 2022-now).

By volume, 2022-now

  1. 1 China 1.4k works
  2. 2 India 1.4k works
  3. 3 United States 987 works
  4. 4 Italy 317 works
  5. 5 Germany 304 works
  6. 6 Japan 297 works
  7. 7 United Kingdom 293 works
  8. 8 Canada 210 works
  9. 9 South Korea 210 works
  10. 10 Spain 180 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 25.1%India: 24.5%United States: 17.8%Italy: 5.7%6 others listed: 26.9%25%largest
China1,391 · 25.1%India1,362 · 24.5%United States987 · 17.8%Italy317 · 5.7%6 others listed1,495 · 26.9%

Shares of the rows listed above, not of the whole node.

Which institutions lead Context-Aware Activity Recognition Systems research?

By volume in 2022-now, SRM Institute of Science and Technology publishes the most Context-Aware Activity Recognition Systems research, followed by Centre National de la Recherche Scientifique and Chinese Academy of Sciences.

By volume, 2022-now

  1. 1 SRM Institute of Science and TechnologyIndia 52 works
  2. 2 Centre National de la Recherche ScientifiqueFrance 42 works
  3. 3 Chinese Academy of SciencesChina 42 works
  4. 4 Vellore Institute of Technology UniversityIndia 39 works
  5. 5 Amrita Vishwa VidyapeethamIndia 35 works
  6. 6 Tsinghua UniversityChina 32 works
  7. 7 Beijing University of Posts and TelecommunicationsChina 27 works
  8. 8 King Mongkut's University of Technology North BangkokThailand 27 works
  9. 9 National Research CouncilItaly 27 works
  10. 10 Chandigarh UniversityIndia 26 works

Who are the leading researchers in Context-Aware Activity Recognition Systems?

The most-cited researchers publishing on Context-Aware Activity Recognition Systems include Simon Iain Hay, Xiangyu Zhang and Luigi Ferrucci.

  1. 1 Simon Iain Hay United States 452k citations
  2. 2 Xiangyu Zhang 327k citations
  3. 3 Luigi Ferrucci United States 281k citations
  4. 4 Wei Huang China 267k citations
  5. 5 Florian Fischer Germany 257k citations
  6. 6 Tommi Juhani Vasankari Finland 248k citations
  7. 7 Derrick Bennett United Kingdom 248k citations
  8. 8 Li Fei-Fei United States 225k citations
  9. 9 Kai You Wang China 224k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Context-Aware Activity Recognition Systems?

The most cited paper in Context-Aware Activity Recognition Systems is "Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly" (Maarit Kangas, Raija Korpelainen, Irene Vikman et al., 2014), with 18,953 citations. Next come "Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications" (8,629) and "Edge Computing: Vision and Challenges" (8,577).

Most cited papers
#PaperReleasedCitations
1 Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly Maarit Kangas, Raija Korpelainen, Irene Vikman et al. · Gerontology 13 Aug 2014 18,953
2 Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications Ala Al‐Fuqaha, Mohsen Guizani, Mehdi Mohammadi et al. · IEEE Communications Surveys & Tutorials Open access 2015 8,629
3 Edge Computing: Vision and Challenges Weisong Shi, Jie Cao, Quan Zhang et al. · IEEE Internet of Things Journal 9 Jun 2016 8,577
4 Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition Sijie Yan, Yuanjun Xiong, Dahua Lin · Proceedings of the AAAI Conference on Artificial Intelligence Conference paperOpen access 27 Apr 2018 5,096
5 Understanding and Using Context Anind K. Dey · Personal and Ubiquitous Computing Open access 28 Feb 2001 5,019
All 99 most cited papers, with filters and sorting

Where is Context-Aware Activity Recognition Systems research done?

The largest centres of Context-Aware Activity Recognition Systems research in 2022-now are Beijing (China), Chennai (India), Tokyo (Japan) and Seoul (South Korea). Among places with at least 20 works in it, it is an unusually large share of all research in Phayao and Kaiserslautern.

Largest cities, 2022-now

  1. 1 BeijingChina 234 works
  2. 2 ChennaiIndia 156 works
  3. 3 TokyoJapan 101 works
  4. 4 SeoulSouth Korea 100 works
  5. 5 ShanghaiChina 96 works
  6. 6 NanjingChina 87 works
  7. 7 BengaluruIndia 85 works
  8. 8 CoimbatoreIndia 80 works
  9. 9 PuneIndia 68 works
  10. 10 Xi'anChina 68 works

Where it is the local speciality

  1. PhayaoTH · 22.5 works56×
  2. KaiserslauternDE · 20.8 works12×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Context-Aware Activity Recognition Systems than the world average.

See Context-Aware Activity Recognition Systems on the map

Where is the best place to study Context-Aware Activity Recognition Systems?

Among universities, judged by research, Air University, SRM Institute of Science and Technology and Georgia Institute of Technology score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 20.48%fractional works in this field (log) →share of work in the world top 10% →Air UniversityTsinghua UniversityGeorgia Institute of…SRM Institute of Sci…
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Air UniversityPakistan 74.146.2%33.7×14 +133.4%
2SRM Institute of Science and TechnologyIndia 55.06.9%7.2×52 +221.3%
3Georgia Institute of TechnologyUnited States 54.615.2%5.5×24 +86.1%
4Tsinghua UniversityChina 53.722.4%1.9×32 +90.0%
5King Mongkut's University of Technology North BangkokThailand 53.212.9%29.2×27 +291.4%
6Maulana Azad National Institute of TechnologyIndia 53.020.6%19.2×19 +545.3%
7Nanyang Technological UniversitySingapore 52.725.6%3.0×17 +65.6%
8University of PhayaoThailand 52.214.1%65.5×22 +511.4%
9Hong Kong Polytechnic UniversityChina 50.915.6%3.2×20 +21.6%
10Southeast UniversityChina 50.725.3%2.0×21 +464.8%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Context-Aware Activity Recognition Systems, country by country

Is Context-Aware Activity Recognition Systems research growing?

Output in 2022-2025 was 6% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Context-Aware Activity Recognition Systems.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Context-Aware Activity Recognition Systems as a percentage of every work published that year, 0.038% in 2024.

still counting0.020%0.040%0.060%Context-Aware Activity Recognition Systems0.037% in 202519801990200020102020

Fractional works of Context-Aware Activity Recognition Systems over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Context-Aware Activity Recognition Systems9.9% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.

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